Experimentation Registry
SI Tech Labs Experiments
Focused technical prototypes tested internally before graduating into EduVentra, Flockit, and Quantsilica.
EXP-01Graduated
Career Intelligence
Structured Resume Semantic Parser
Multi-stage extraction pipeline separating skill taxonomies, project deliverables, and role fit without hallucinated metrics.
Outcome: Integrated into Flockit
TypeScriptNLP EmbeddingsDeterministic Schema
EXP-02Open Alpha
Quantitative Data
Tabular Outlier & Missingness Repair
Statistical profiler predicting imputation strategies across mixed-type CSV/Parquet datasets before downstream ML training.
Outcome: 94% Schema Accuracy
PythonQuant EngineDiagnostics
EXP-03Beta
Education AI
Adaptive Concept Dependency Mapper
Constructs prerequisite DAGs for technical coursework so students resolve foundational blockers before advancing.
Outcome: Testing on EduVentra
Knowledge GraphsCurricula AINext.js
EXP-04Research
Applied ML
High-Precision Ensemble Classification
Feature-engineered supervised pipeline benchmarking calibration reliability on academic and industrial telemetry sets.
Outcome: 97.74% Accuracy (DCRUST)
Scikit-LearnFeature EngineeringCalibration
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